Top Artificial Intelligence Jobs in Paris

Lead design and delivery of AI-powered visualization and investigation features using LLMs. Build reliable, explainable systems combining deterministic product capabilities with generative models, drive prompt/context engineering, evaluation frameworks, and cross-team product-focused technical leadership and mentorship.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

The Client Value Partner will lead data-driven business transformation initiatives with strategic customers, driving adoption of Celonis while ensuring customer success and satisfaction. Responsibilities include managing executive relationships, mentoring teams, and influencing customer strategies.

Lead Implicity’s product vision, strategy, roadmap, and execution for its AI-powered cardiac remote monitoring platform. Manage and grow the Product Management and Product Design teams, improve product processes, monitor KPIs and OKRs, and foster a customer-centric, data-informed culture. Partner with engineering, clinical, commercial, and executive stakeholders to deliver high-quality features, support go-to-market initiatives, and drive strategic product opportunities.

Lead and grow a team of Applied Scientists to research, prototype, and productionize AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, stay hands-on technically, hire and onboard team members, and coordinate delivery with product and engineering stakeholders.

Lead workshops, architect and design Workday Extend applications, deliver requirements and design to developers, manage and guide Extend consultants, liaise with clients and Workday, and support pre-sales and AI-enabled solutioning.

The Client Value Partner will lead customer success initiatives, manage executive relationships, drive business transformation through AI, and ensure the effective adoption of Celonis solutions, while mentoring teams and advocating for customer needs.

The Client Value Partner (CVP) leads customer success initiatives, drives AI-driven transformations, and builds executive relationships to maximize value and foster adoption of Celonis solutions.

As a Senior Consultant, you will identify AI opportunities, design scalable solutions, lead innovation workshops, and drive customer adoption to deliver measurable business impact.

As a Senior Applied AI Solutions Consultant, you'll work with strategic customers to develop AI-powered solutions, prototype innovations, and drive adoption, ensuring measurable business value from AI applications in their operations.

Customer-facing senior consultant who identifies high-impact AI opportunities, designs AI-powered solutions using Celonis and modern AI partners, prototypes proofs-of-value, runs workshops, and drives adoption and measurable business impact across domains like supply chain and finance. Native-level French required.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Owns commercial success, revenue, and strategic relationships for embedded HR technology partners. Responsibilities include managing a $10M+ annual bookings target, developing partner sales motions, enabling partner sellers, driving pipeline and ARR growth, resolving commercial issues, leading executive business reviews, expanding partnerships, coordinating cross-functional teams, and managing partner account managers and embedded sales leads.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

Leads digital transformation across procurement by implementing and optimizing SAP, Coupa, ERP, e-sourcing, and supplier management technologies. Oversees data governance, integration, process improvement, category and spend analytics, supplier performance monitoring, and cross-functional project delivery. Evaluates emerging capabilities such as AI and RPA, manages stakeholder relationships, mentors team members, and drives procurement technology innovation and operational efficiency.

Build Solidgate’s new ML/AI function, developing production machine learning models, recommendation systems, and real-time transaction-routing decision systems. Own experimentation from ideation through A/B testing and deployment, engineer features from high-cardinality transactional data, integrate emerging AI technologies, and collaborate with Product, Engineering, and Data Platform teams on training and analytics pipelines.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Build and grow Cloudera’s sovereign cloud business across EMEA. Develop provider and customer relationships, create marketplace offerings, lead discovery and value discussions, coordinate cross-functional teams, enable partners, generate pipeline, and drive sales motions. Own regional sovereign cloud pipeline, forecasts, bookings, and revenue. The role requires enterprise cloud, data, AI/ML sales experience, sovereign cloud expertise, complex deal leadership, executive communication, and strong hunting skills.

Own the AI agenda across Customer Operations by identifying, implementing, monitoring, and optimizing AI features such as chat and email agents. Manage multiple concurrent projects, align stakeholders, translate operational pain points into automation opportunities, and improve processes across Customer Support and Payments, Fraud & Verification. Track post-launch performance, resolve issues, and drive continuous operational excellence through analytical, creative, and cross-functional problem-solving.

Lead technical vision and architecture for LLM/GenAI features, coach and grow the AI engineering team, ship end-to-end production features, optimize cost/latency/reliability, integrate LLMs and search/RAG systems, and collaborate with product and design to scale AI capabilities.

Support P&C senior management with market and competitive intelligence, strategic plan monitoring, research and analysis, external communications, M&A assessment, AI deployment initiatives, business development, and ad hoc presentations and briefings for executives and stakeholders.

Rotational graduate program within Alan's Insurance team covering enterprise offers, insurance product lifecycle, analytics and repricing, and reinsurance/risk. After a two-month onboarding you'll work cross-functionally with Engineering, Data, Finance and Marketing to build prevention-focused insurance products, leveraging SQL and AI, with coaching and visible impact from day one.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.